An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)

Model building aid for population analysis using NONMEM

Population Experimental Design (PopED) in R

Generation of Synthetic Populations Library

Population prediction model based on extracted OSM features

Pattern-oriented ensemble modelling and simulation (with spatially explicit populations)

An R package for simulating Generalised Management Strategy Evaluation

Matlab Simulator of Continuous-time Multi-type Branching Processes in Random Environment. (UPDATE: includes examples for modelling the coronavirus epidemics (COVID-19, SARS-CoV-2)))

Ground Risk model for UAS flight path analysis and risk-aware path finding

Simulaciones de epidemias 👾 en poblaciones con mezclas homogéneas 👪 utilizando modelos basados en agentes autónomos 🤖

DEPONS model: Simulating effects of disturbances on the North Sea harbour porpoise population

An agent-based model (with a web simulation) for Guizhou "golden" monkey population and movements using the Mesa Python framework; thesis project + human/GTGP expansion; Summer 2018-Winter 2019

A population growth model and simulation of three species in a forest. The defined interactions between species affects their number and survival. It can be used to produce more realistic scenario with real world parameters to depict the survival of certain species co-existing together

Bayesian constraints on the astrophysical neutrino population from IceCube data

This app projects a user-defined Leslie (age-classified) matrix to examine population changes through time.

Strategy for improved characterisation of human metabolic phenotypes using a COmbined Multiblock Principal components Analysis with Statistical Spectroscopy (COMPASS)

Bayesian Priors for Matrix Population Models

Stochastic Leslie matrix population model for the emu (Dromaius novaehollandiae)

Analysis script for "Neutral competition boosts chaos in food webs"

This project show cases how to use Object Oriented Programming in MATLAB to do dynamic population models in a scalable and flexible framework